Qi Su
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Heme Oxygenase-1 and Carbon Monoxide
Papers in
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- Pineapple and bromelain studies 2
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- Garlic and Onion Studies 7
- Co-authors
- Hailin Tang (3 shared papers)Yanan Kong (2 shared papers)Jiaoli Guo (2 shared papers)Xiaoming Xie (2 shared papers)Hongzhuan Yin (3 shared papers)Min Deng (1 shared paper)Yunyun Tang (1 shared paper)Feng Ye (1 shared paper)
- Journals
- Cancer Letters (1 paper)Clinical Cancer Research (1 paper)Acta Pharmacologica Sinica (1 paper)New Journal of Chemistry (1 paper)Cellular & Molecular Biology Letters (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Qi Su
21 papers receiving 727 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 192
- Molecular Biology 415
- Pathology and Forensic Medicine 79
- Biochemistry 30
- Education 94
Countries citing papers authored by Qi Su
This map shows the geographic impact of Qi Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Su more than expected).
Fields of papers citing papers by Qi Su
This network shows the impact of papers produced by Qi Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qi Su. The network helps show where Qi Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 144 | |
| 2 | 2013 | 102 | |
| 3 | 2019 | 79 | |
| 4 | 2014 | 76 | |
| 5 | 2016 | 54 | |
| 6 | 2014 | 39 | |
| 7 | 2006 | 32 | |
| 8 | 2006 | 29 | |
| 9 | 2016 | 29 | |
| 10 | 2018 | 28 | |
| 11 | 2008 | 26 | |
| 12 | 2021 | 21 | |
| 13 | 2011 | 19 | |
| 14 | 2018 | 17 | |
| 15 | 2010 | 16 | |
| 16 | 2021 | 11 | |
| 17 | [Expression and clinical significance of miR-23a and metastasis suppressor 1 in colon carcinoma]. | 2012 | 9 |
| 18 | 2011 | 6 | |
| 19 | Inhibitory effect of diallyl disulfide on human gastric cancer cell line MGC803 in vitro | 2003 | 3 |
| 20 | 2025 | 2 |
About Qi Su
Qi Su is a scholar working on Molecular Biology, Plant Science, Pathology and Forensic Medicine, Cancer Research and Immunology, having authored 23 papers that have together received 743 indexed citations. Recurring topics across this work include Garlic and Onion Studies (7 papers), Innovative Teaching Methods (2 papers), Cancer Mechanisms and Therapy (2 papers), Chemotherapy-induced organ toxicity mitigation (2 papers), Pineapple and bromelain studies (2 papers), MicroRNA in disease regulation (2 papers), Education and Critical Thinking Development (2 papers) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Cancer Research (192 citations), Molecular Biology (415 citations), Pathology and Forensic Medicine (79 citations), Biochemistry (30 citations) and Education (94 citations). Qi Su has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Hailin Tang, Yanan Kong, Jiaoli Guo, Xiaoming Xie, Hongzhuan Yin, Min Deng, Yunyun Tang, Feng Ye, Xinhua Xie and Hiroshi Maeda. Their work appears in journals such as Cancer Letters, Clinical Cancer Research, Acta Pharmacologica Sinica, New Journal of Chemistry and Cellular & Molecular Biology Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.